Computers have a reputation for being able to churn through numbers with limited intuition. Now, though, an algorithm developed by researchers at MIT to find predictive patterns in unfamiliar data ...

Robots have amazing efficiency compared to human beings. Using algorithms that optimize work processes, robots are engineered to perform their assigned tasks to completion as efficiently as possible.

Researchers at MIT have come up with an algorithm that can detect the underlying emotions behind a person’s smile better than a human being can.

The team fed its algorithm tens of thousands of images from several different datasets, including LaMem and the scene-oriented SUN and Places (all of which were developed at CSAIL).

Swarms of drones flying in terrifyingly perfect formation could be one step closer, thanks to a control algorithm being developed at MIT.

The algorithm, using a technique developed by MIT’s Daniel Zoran and Yair Weiss of Hebrew University of Jerusalem, separates images into 8-by-8-pixel squares.

Consider a group of drones that have to constantly exchange information on their position in order to avoid colliding with one another. Or a smart car that needs up-to-the-millisecond sensor data to ...

Using neural networks and shows like “The Office” and “Big Bang Theory,” CSAIL’s system was able to predict how actors were about to greet each other.

We’re still in the early days of commercial drones, but MIT is already working to end crashes for good. Drones. They crash. A lot. Right now, they’re only as good as their pilots, which often means ...